Reigate, Surrey, England, United Kingdom Hybrid / WFH Options
esure Group
them to strong results. Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with More ❯
Reigate, Surrey, England, United Kingdom Hybrid / WFH Options
esure Group
them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain More ❯
ontology design. Familiarity with advanced modeling approaches such as RNNs, Seq2Seq, and LightGBM. Experience with synthetic data generation and simulators. Proficiency with ML toolkits and frameworks (Python, PyTorch, Scikit-learn). Experience building and deploying multi-tiered or enterprise-level AI/ML solutions. Cloud and AI/ML certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer More ❯
Strong foundations in data structures, data modeling, and software architecture. • In-depth experience with machine learning tools and frameworks such as PyTorch and TensorFlow (plus common libraries like scikit-learn). • Extensive mathematics and computer science skills, with deep understanding of probability, statistics, and algorithms. • Proficiency in AI/ML-oriented programming: Python, Java, and C++; familiarity with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Lorien
accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud More ❯
focused experience in AI and data-driven architecture design. • Extensive experience in enterprise architecture frameworks (e.g., TOGAF, Zachman). • Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). • Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. • Hands-on More ❯
Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP More ❯
Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP More ❯
sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks More ❯
sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks More ❯
Data, Tools Development Proficiency in Python, with a background in back end services and data processing Exposure to AI/ML algorithms Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of LLMs, vector databases, and retrieval systems Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure Knowledge of building and deploying cloud More ❯
depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn Tooling & Environment : DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker Cloud: You have worked with More ❯
operations Technical Skills: Python Proficiency: Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud More ❯
implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with core libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Polars is expected. Experience with digital signal processing, mobile sensor physics, or behavioural signal design. Proven track record of designing and delivering scalable data products, driving More ❯
language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate More ❯
model management. Strong knowledge of SQL and database management, as well as programming languages such as Python, R, or similar. Strong experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) as well as familiarity with data technologies (e.g., Hadoop, Spark). About Vixio: Our mission is to empower businesses to efficiently manage and meet their regulatory obligations with More ❯
minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or More ❯
minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or More ❯
minimum viable products (MVPs) and iterating based on user needs Person specification We're interested in people who have: python expertise : strong experience with core libraries (pandas, numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or More ❯
data science or data engineering solutions into production. You're comfortable writing production-grade code, not just notebooks. Strong Python and SQL skills, including the basic libraries (Pandas, Numpy, ScikitLearn). You value writing clean, maintainable, and tested code. Proven ability to design, build, and maintain data pipelines and tools from scratch that are reliable, maintainable, and scalable. Strong communicator More ❯
Location: New York, Charlotte, Dallas All potential candidates should read through the following details of this job with care before making an application. At EY, we’re all in to shape your future with confidence. We’ll help you succeed More ❯
on experience in AI or ML in a professional environment (3-5 years preferred) Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) Solid programming background with experience using statistical and signal analysis libraries Experience with neural network architectures including deep learning models Understanding of transformer architectures and attention mechanisms More ❯
and experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI More ❯
and experience implementing ML lifecycle management (source control, CI/CD for models, model registries, etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow/PyTorch) and experience with code review and DevOps processes. Leadership & Communication: Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI More ❯
